Geomorphologic investigation on the basis of remote sensing data in the elaboration of the State Geomap-200

2007 ◽  
Vol 13 (1s) ◽  
pp. 61-64
Author(s):  
N.V. Pazynych ◽  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
The State ◽  
Sensing Data

scholarly journals Efficient land use based on remote sensing data

2021 ◽  
Vol 3 ◽  
pp. 180-185
Author(s):  
Y. M. Kenzhegaliyev ◽  
◽  
◽  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Remote Sensing Data ◽  
Crop Productivity ◽  
The State ◽  
Agricultural Crops ◽  
Earth Remote Sensing ◽  
Spectral Reflectivity ◽  
Sensing Data ◽  
Current Location

The goal -is to explore ways of using Earth remote sensing data for efficient land use. Methods - detailed information on current location of certain types of agricultural crops in the study areas has been summarized, which opens up opportunities for the effective use of cultivated areas. It was revealed that the basis of the principle of the method under consideration is the relationship between the state and structure of vegetation types with its reflective ability. It has been determined that information on the spectral reflective property of the vegetation cover in the future can help replace more laborious methods of laboratory analysis. For classification of farmland, satellite images of medium spatial resolution with a combination of channels in natural colors were selected. Results - a method for identifying agricultural plants by classification according to the maximum likelihood algorithm was considered. The commonly used complexes of geoinformation software products with modules for special image processing allow displaying indicators in the form of raster images. It is shown that the use of Earth remote sensing data is the most relevant solution in the field of crop recognition and makes it possible to simplify the implementation of such types of work as the analysis of the intensity of land use, the assessment of the degree of pollution with weeds and determination of crop productivity. Conclusions - the research results given in the article indicate that timely information on the current location of certain types of agricultural crops in the studied territories significantly simplifies the implementation of the tasks and increases the resource potential of agricultural lands. In turn, the timing of the survey and the state of environment affect the spectral reflectivity of vegetation.

scholarly journals LIGHT POLLUTION IN SLOVENIA IN 2019 WITH SPECIAL REGARD TO NATURA 2000 AREAS

2020 ◽  
Vol 42 ◽  
pp. 69-81
Keyword(s):  
Remote Sensing ◽  
Protected Areas ◽  
Remote Sensing Data ◽  
Natura 2000 ◽  
The State ◽  
Light Pollution ◽  
Sensing Data ◽  
Special Regard ◽  
Ljubljansko Barje

Light pollution in Slovenia in 2019 with special regard to Natura 2000 areas The article shows the state of light pollution in Slovenia. Remote sensing data from the Suomi satellite were analysed. Light pollution is shown by radiance expressed in nW/(sr cm2 ). In Slovenia, there are large differences in state of light polution. The most polluted areas are located in the area of larger settlements and in areas with higher levels of infrastructure. The spread of light does not stop at the borders of protected areas, so we also analyzed the state of light pollution in Natura 2000 sites in Slovenia. It turns out that the most lightpolluted areas are those that lie around larger settlements or suburbanised regions (Ljubljansko Barje, Šmarna gora, Drava).

scholarly journals Experience of the application of remote sensing data in the problems of geo-ecological monitoring of the coal mining area

2019 ◽  
Vol 75 ◽  
pp. 02001
Author(s):  
Olga Giniyatullina ◽  
Evgeniy Schastlivtsev ◽  
Vladimir Kovalev
Keyword(s):  
Remote Sensing ◽  
Coal Mining ◽  
Remote Sensing Data ◽  
Ecological Monitoring ◽  
Mining Area ◽  
The State ◽  
Sensing Data ◽  
Coal Mining Area ◽  
Mining Region ◽  
Dust Load

The experience of solving problems of geoecological monitoring of coal mining region with the use of remote sensing data is presented. The results of control over the boundaries of coal-mining enterprises, assessment of the degree of self-growth of dumps, monitoring of the state of vegetation near objects of coal mining and dust load of the area are shown.

Assessment of the state of urban ecosystems on the basis of remote sensing data

2013 ◽  
Vol 46 (4) ◽  
pp. 447-458
Author(s):  
I. N. Gorokhova ◽  
T. I. Borisochkina ◽  
E. A. Shishkonakova
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Urban Ecosystems ◽  
The State ◽  
Sensing Data

Pre-harvest sugarcane burning emission inventories based on remote sensing data in the state of São Paulo, Brazil

2014 ◽  
Vol 99 ◽  
pp. 446-456 ◽  
Author(s):  
Daniela França ◽  
Karla Longo ◽  
Bernardo Rudorff ◽  
Daniel Aguiar ◽  
Saulo Freitas ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Sao Paulo ◽  
The State ◽  
Emission Inventories ◽  
São Paulo ◽  
Sensing Data

scholarly journals Schistosomiasis risk mapping in the state of Minas Gerais, Brazil, using a decision tree approach, remote sensing data and sociological indicators

2010 ◽  
Vol 105 (4) ◽  
pp. 541-548 ◽  
Author(s):  
Flávia T Martins-Bedê ◽  
Luciano V Dutra ◽  
Corina C Freitas ◽  
Ricardo JPS Guimarães ◽  
Ronaldo S Amaral ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Decision Tree ◽  
Remote Sensing Data ◽  
Minas Gerais ◽  
The State ◽  
Risk Mapping ◽  
Sensing Data ◽  
Tree Approach

scholarly journals Improving the Efficiency of Remote Sensing Data Interpretation by Analyzing Neighborhood Descriptors

2018 ◽  
Vol 28 (3) ◽  
pp. 352-365
Author(s):  
Stanislav A. Yamashkin ◽  
Anatoliy A. Yamashkin
Keyword(s):  
Remote Sensing ◽  
Classification Accuracy ◽  
System Analysis ◽  
Remote Sensing Data ◽  
Automated Analysis ◽  
Data Interpretation ◽  
Space Time ◽  
The State ◽  
Survey Analysis ◽  
Sensing Data

Introduction. In evaluating the space-time structure of the Earth’s surface, the data of remote sensing of the Earth become more important. Increasing the effectiveness of space survey analysis tools is possible through studying the problem of obtaining an integrated space-time characterization of the state of lands. The purpose of this study is to improve the accuracy of the automated analysis of remote sensing data by taking into account the invariant and dynamic descriptors of the vicinity. Materials and Methods. In order to improve the accuracy of the remote sensing data classification, a computation of complex space-time characteristics of the state of the lands was conducted based on the system analysis of data characterizing the dynamic and invariant states of the territory surrounding the geophysical site. The formalization of this process includes methods for calculating a set of numerical descriptors of the neighborhood: local entropy, local range, standard deviation, color moment, histogram of hues, and color cortege. A technique for calculating a complex descriptor based on the Fisher vector is described. To approbate the solution, a plan for the experiment was drawn up and a sample of the initial data was sampled. Results. The approbation of the methodology and the algorithm developed on its basis, implemented as a set of programs, on the test polygon system showed a variation in the classification accuracy in the range of 81–89% (without regard to the neighborhood), and taking into account the neighborhood, it increases to 91–97%. It is revealed that a significant increase in the radius of the analyzed neighborhood leads to a decrease in the classification accuracy. Conclusions. The application of the developed set of programs allows for the rapid implementation of modeling of spatial systems for the purpose of thematic mapping of land use and analyzing the development of emergency situations. The developed methodology for analyzing lands with regard to the descriptors of the neighborhood makes it possible to improve the accuracy of classification.

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